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Mining cancer-specific disease comorbidities from a large observational health database.

Chen Y, Xu R - Cancer Inform (2014)

Bottom Line: We stratified 3,354,043 patients based on age and gender, and developed a network-based approach to extract comorbidity patterns from each patient group.We applied our comorbidity mining approach on colorectal cancer and detected its comorbid associations with metabolic syndrome components, diabetes, and osteoporosis.Our results not only confirmed known cancer comorbidities but also generated novel hypotheses, which can illuminate the common pathophysiology between cancers and their co-occurring diseases.

View Article: PubMed Central - PubMed

Affiliation: Division of Medical Informatics, Case Western Reserve University, Cleveland, OH, USA.

ABSTRACT
Cancer comorbidities often reflect the complex pathogenesis of cancers and provide valuable clues to discover the underlying genetic mechanisms of cancers. In this study, we systematically mine and analyze cancer-specific comorbidity from the FDA Adverse Event Reporting System. We stratified 3,354,043 patients based on age and gender, and developed a network-based approach to extract comorbidity patterns from each patient group. We compared the comorbidity patterns among different patient groups and investigated the effect of age and gender on cancer comorbidity patterns. The results demonstrated that the comorbidity relationships between cancers and non-cancer diseases largely depend on age and gender. A few exceptions are depression, anxiety, and metabolic syndrome, whose comorbidity relationships with cancers are relatively stable among all patients. Literature evidences demonstrate that these stable cancer comorbidities reflect the pathogenesis of cancers. We applied our comorbidity mining approach on colorectal cancer and detected its comorbid associations with metabolic syndrome components, diabetes, and osteoporosis. Our results not only confirmed known cancer comorbidities but also generated novel hypotheses, which can illuminate the common pathophysiology between cancers and their co-occurring diseases.

No MeSH data available.


Related in: MedlinePlus

Comorbidity relationships between endocrine, nutritional, and metabolic disorders and colorectal cancers among three age groups.
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f7-cin-suppl.1-2014-037: Comorbidity relationships between endocrine, nutritional, and metabolic disorders and colorectal cancers among three age groups.

Mentions: A total of 44 diseases of 6 classes associate with colorectal cancer across different age groups. These disease classes include the following: digestive system disorders, cardiovascular diseases, inflammatory disorders, metabolic diseases, respiration diseases, and nervous system disorders. We further investigated the metabolic diseases in detail, since this class contains the largest number of diseases as colorectal cancer comorbidities. Figure 7 shows part of the metabolic diseases that are strongly associated with colorectal cancer. Hypercholesterolemia, hypothyroidism, and diabetes mellitus have comorbidity associations with colorectal cancer in all age groups, although the strengths of the associations tend to decrease when ages increase. Gender has little impact on the comorbidity patterns of these three diseases. A large number of literature evidences support that metabolic syndrome and type 2 diabetes are among the risk factors of colorectal cancer.46,47 Researches also have demonstrated that insulin resistance may explain the co-occurrence between colorectal cancer and type 2 diabetes.48,49 In addition, osteoporosis is associated with colorectal cancer among elderly female patients. A recent retrospective study50 confirmed our result and demonstrated that osteoporosis may increase the risk of colorectal cancer among postmenopausal women. Another study also showed that an osteoporosis oral drug reduced the risk of colorectal cancer.51 Currently, the molecular basis that contributes to the observed comorbidity association between osteoporosis and colorectal cancer is not yet clear. Studies on the common molecular mechanisms between the two diseases have the potential to discover new knowledge.


Mining cancer-specific disease comorbidities from a large observational health database.

Chen Y, Xu R - Cancer Inform (2014)

Comorbidity relationships between endocrine, nutritional, and metabolic disorders and colorectal cancers among three age groups.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4216041&req=5

f7-cin-suppl.1-2014-037: Comorbidity relationships between endocrine, nutritional, and metabolic disorders and colorectal cancers among three age groups.
Mentions: A total of 44 diseases of 6 classes associate with colorectal cancer across different age groups. These disease classes include the following: digestive system disorders, cardiovascular diseases, inflammatory disorders, metabolic diseases, respiration diseases, and nervous system disorders. We further investigated the metabolic diseases in detail, since this class contains the largest number of diseases as colorectal cancer comorbidities. Figure 7 shows part of the metabolic diseases that are strongly associated with colorectal cancer. Hypercholesterolemia, hypothyroidism, and diabetes mellitus have comorbidity associations with colorectal cancer in all age groups, although the strengths of the associations tend to decrease when ages increase. Gender has little impact on the comorbidity patterns of these three diseases. A large number of literature evidences support that metabolic syndrome and type 2 diabetes are among the risk factors of colorectal cancer.46,47 Researches also have demonstrated that insulin resistance may explain the co-occurrence between colorectal cancer and type 2 diabetes.48,49 In addition, osteoporosis is associated with colorectal cancer among elderly female patients. A recent retrospective study50 confirmed our result and demonstrated that osteoporosis may increase the risk of colorectal cancer among postmenopausal women. Another study also showed that an osteoporosis oral drug reduced the risk of colorectal cancer.51 Currently, the molecular basis that contributes to the observed comorbidity association between osteoporosis and colorectal cancer is not yet clear. Studies on the common molecular mechanisms between the two diseases have the potential to discover new knowledge.

Bottom Line: We stratified 3,354,043 patients based on age and gender, and developed a network-based approach to extract comorbidity patterns from each patient group.We applied our comorbidity mining approach on colorectal cancer and detected its comorbid associations with metabolic syndrome components, diabetes, and osteoporosis.Our results not only confirmed known cancer comorbidities but also generated novel hypotheses, which can illuminate the common pathophysiology between cancers and their co-occurring diseases.

View Article: PubMed Central - PubMed

Affiliation: Division of Medical Informatics, Case Western Reserve University, Cleveland, OH, USA.

ABSTRACT
Cancer comorbidities often reflect the complex pathogenesis of cancers and provide valuable clues to discover the underlying genetic mechanisms of cancers. In this study, we systematically mine and analyze cancer-specific comorbidity from the FDA Adverse Event Reporting System. We stratified 3,354,043 patients based on age and gender, and developed a network-based approach to extract comorbidity patterns from each patient group. We compared the comorbidity patterns among different patient groups and investigated the effect of age and gender on cancer comorbidity patterns. The results demonstrated that the comorbidity relationships between cancers and non-cancer diseases largely depend on age and gender. A few exceptions are depression, anxiety, and metabolic syndrome, whose comorbidity relationships with cancers are relatively stable among all patients. Literature evidences demonstrate that these stable cancer comorbidities reflect the pathogenesis of cancers. We applied our comorbidity mining approach on colorectal cancer and detected its comorbid associations with metabolic syndrome components, diabetes, and osteoporosis. Our results not only confirmed known cancer comorbidities but also generated novel hypotheses, which can illuminate the common pathophysiology between cancers and their co-occurring diseases.

No MeSH data available.


Related in: MedlinePlus